Health-Related Quality of Life in Older Adults With Acute Cardiovascular Disease Undergoing Early Mobilization
Bibliographic record
Abstract
Background Early mobilization (EM) is safe and feasible in older adults with acute cardiovascular disease (CVD) and may improve posthospitalization patient-centred outcomes. Our objective was to assess posthospitalization health-related quality of life (HRQOL) in older adults with acute CVD undergoing EM. Methods Patients aged ≥ 60 years with acute CVD undergoing EM at an academic tertiary centre in Montreal, Quebec were prospectively enrolled from January 2018 to January 2020. Functional status was measured using the validated Level of Function Mobility Scale. HRQOL was measured using the Short-Form 36 questionnaire at 1 and 12 months posthospitalization. The primary outcome was the questionnaire's physical component summary (PCS) score at 1 month posthospitalization. Results There were 147 patients included in the analysis (aged 75.0 ± 8.7 years; 44.6% female; 48.6% with ischemic heart disease). The mean 1-month PCS score was 34.7 ± 9.7, which was 11.5 points and 8.4 points lower compared to age-matched Canadian normative data for people ages 65-74 years and ≥ 75 years, respectively. The mean PCS score at 12 months (36.5 ± 9.2) and the mean mental component summary scores at 1 and 12 months (36.9 ± 11.1; 40.5 ± 11.5) were lower than those of the age-matched population (all P < 0.0001). In the multivariable analysis, increased age and worse prehospitalization function were associated with lower PCS score at 1 month. Conclusions Older adults with acute CVD had lower HRQOL at 1 and 12 months posthospitalization than age-matched Canadian norms. Prehospitalization functional status was predictive of poor posthospitalization HRQOL. The EM program was safe and feasible in this patient population. Further studies are needed to determine whether EM can improve posthospitalization patient-centred outcomes in older adults, particularly those with poor prehospitalization functional status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".